Electrophoresis,
Год журнала:
2023,
Номер
45(13-14), С. 1212 - 1232
Опубликована: Ноя. 1, 2023
Abstract
Single‐cell
biophysical
properties
play
a
crucial
role
in
regulating
cellular
physiological
states
and
functions,
demonstrating
significant
potential
the
fields
of
life
sciences
clinical
diagnostics.
Therefore,
over
last
few
decades,
researchers
have
developed
various
detection
tools
to
explore
relationship
between
changes
biological
cells
human
diseases.
With
rapid
advancement
modern
microfabrication
technology,
microfluidic
devices
quickly
emerged
as
promising
platform
for
single‐cell
analysis
offering
advantages
including
high‐throughput,
exceptional
precision,
ease
manipulation.
Consequently,
this
paper
provides
an
overview
recent
advances
systems
their
applications
field
cancer.
The
working
principles
latest
research
progress
property
are
first
analyzed,
highlighting
significance
electrical
mechanical
properties.
development
data
acquisition
processing
methods
real‐time,
practical
then
discussed.
Furthermore,
differences
tumor
normal
outlined,
illustrating
utilizing
cell
identification,
classification,
drug
response
assessment.
Lastly,
we
summarize
limitations
existing
properties,
while
also
pointing
out
prospects
future
directions
cancer
diagnosis
treatment.
Abstract
This
study
introduces
multi‐zone
visco‐Node‐Pore
Sensing
(mz‐visco‐NPS),
an
electronic‐based
microfluidic
platform
for
single‐cell
viscoelastic
phenotyping.
mz‐visco‐NPS
implements
a
series
of
sinusoidal‐shaped
contraction
zones
that
periodically
deform
cell
at
specific
strain
frequencies,
leading
to
changes
in
resistance
across
the
correspond
cell's
frequency‐dependent
elastic
G′
and
viscous
G″
moduli.
is
validated
by
measuring
MCF‐7
cells
when
their
cytoskeleton
disrupted.
also
employed
measure
properties
human
mammary
epithelial
entire
continuum
transformation
states,
from
average‐
high‐risk
primary
cells,
immortal
non‐malignant
(MCF‐10A),
malignant
(MCF‐7),
metastatic
(MDA‐MB‐231)
lines.
With
throughput
600
per
hour
demonstrated
ease‐of‐use,
reveals
remarkable
level
heterogeneity
would
otherwise
be
masked
ensemble
averaging.
IEEE Transactions on Biomedical Engineering,
Год журнала:
2022,
Номер
70(2), С. 470 - 478
Опубликована: Июль 27, 2022
Mass
spectrometry
has
become
the
method
of
choice
for
single
cell
analysis
due
to
its
high
sensitivity
detection
and
capability
in
analyzing
a
large
number
metabolites
simultaneously.
For
long
time,
an
automated
miniaturized
system
capable
extracting
cellular
contents
from
cells
at
pico-liter
level
pico-ESI
been
lacking.This
paper
presents
first-of-its-kind
extraction
single-cell
MS.
The
key
modules,
including
imaging,
bus
controller,
fluidic
driving
are
customized
achieve
satisfactory
performance
affordable
costs,
resulting
movable
on
trolley
connectable
with
To
enable
automation,
trapping
device,
new
image-based
one-pixel
accuracy
positioning
methods
micropipette,
surface-tension-based
1-pL
volume
control
scheme
developed.The
is
able
solvent
loading
1.97
±
0.05
nL,
dispensing
14-15
pL,
evaporation
689±48
pL.
MS
experiments
demonstrate
throughput
20
cells/h.The
achieved
better
consistency
(∼21%),
(∼28%),
success
rate
(up
40%)
than
manual
operation.This
lays
solid
basis
applying
high-throughput
analysis,
such
as
metabolomics
lipidomics.
IEEE Sensors Journal,
Год журнала:
2023,
Номер
23(16), С. 18070 - 18080
Опубликована: Июль 14, 2023
As
a
label-free
single
cell
analysis
approach,
impedance
flow
cytometry
provides
valuable
information
by
differential
signals.
However,
for
high
throughput
purpose,
particle
coincidence
is
inevitable
especially
when
the
concentration
or
pumping
rate
too
high.
In
this
work,
we
proposed
first
numerical
model
and
novel
method
coincidence.
To
investigate
multiparticle
events,
double
sensor
used.
From
statistic
of
signal
peaks,
could
determine
threshold
events
then
read
out
numbers.
Compared
with
customized
threshold,
data-driven
cutoff
line
fundamentally
improves
accuracy
recognition.
Herein,
key
operation
parameters
that
influence
including
sample
concentration,
driven
pressure
(stands
rate),
configuration
are
elucidated.
Moreover,
guide
to
best
practices
avoid
suggested
real
applications.
Imaging
and
impedance
flow
cytometry
is
a
label-free
technique
that
has
shown
promise
as
potential
replacement
for
standard
cytometry.
This
due
to
its
ability
provide
rich
information
archive
high-throughput
analysis.
Recently,
significant
efforts
have
been
made
leverage
machine
learning
processing
the
abundant
data
generated
by
those
techniques,
enabling
rapid
accurate
Harnessing
power
of
learning,
imaging
demonstrated
capability
address
various
complex
phenotyping
scenarios.
Herein,
we
present
comprehensive
overview
detailed
strategies
implementing
in
We
initiate
discussion
outlining
commonly
employed
setup
acquire
(i.e.,
image
or
signal)
from
cell.
Subsequently,
delve
into
necessary
processes
extracting
features
acquired
signal
data.
Finally,
discuss
how
these
can
be
utilized
cell
through
application
algorithms.
Furthermore,
existing
challenges
insights
future
perspectives
intelligent
Electrophoresis,
Год журнала:
2023,
Номер
45(13-14), С. 1212 - 1232
Опубликована: Ноя. 1, 2023
Abstract
Single‐cell
biophysical
properties
play
a
crucial
role
in
regulating
cellular
physiological
states
and
functions,
demonstrating
significant
potential
the
fields
of
life
sciences
clinical
diagnostics.
Therefore,
over
last
few
decades,
researchers
have
developed
various
detection
tools
to
explore
relationship
between
changes
biological
cells
human
diseases.
With
rapid
advancement
modern
microfabrication
technology,
microfluidic
devices
quickly
emerged
as
promising
platform
for
single‐cell
analysis
offering
advantages
including
high‐throughput,
exceptional
precision,
ease
manipulation.
Consequently,
this
paper
provides
an
overview
recent
advances
systems
their
applications
field
cancer.
The
working
principles
latest
research
progress
property
are
first
analyzed,
highlighting
significance
electrical
mechanical
properties.
development
data
acquisition
processing
methods
real‐time,
practical
then
discussed.
Furthermore,
differences
tumor
normal
outlined,
illustrating
utilizing
cell
identification,
classification,
drug
response
assessment.
Lastly,
we
summarize
limitations
existing
properties,
while
also
pointing
out
prospects
future
directions
cancer
diagnosis
treatment.
